Efficiently Computed Lexical Chains as an Intermediate Representation for Automatic Text Summarization
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While automatic text summarization is an area that has received a great deal of attention in recent research, the problem of efficiency in this task has not been frequently addressed. When considering the size and quantity of documents available on the Internet and from other sou
1 ABSTRACT Lexical chaining is a technique for identifying semantically-related terms in a text. It is useful in document summarization in order to identify the top sentences most likely to contain the main ideas of a document or document set. These top sentences are then extract
Automatic Text Summarization is an interesting topic for research. Still it is growing on. Increment of the data is exponentially growing on and it becomes too much difficult to find out the correct or relevant data in huge amount of data. So it becomes important for researchers
Summarization is a complex task that requires understanding of the document con tent to determine the importance of the text. Lexical cohesion is a method to identify connected portions of the text based on the relations between the words in the text. Lexical cohesive relations
Automatic Text Summarization has received a great deal of attention in the past couple of decades. It has gained a lot of interest especially with the proliferation of the Internet and the new technologies. Arabic as a language still lacks research in the field of Information Ret
Automatic text summarization takes an input text and extracts the most important content in the text. Determining the importance of information depends on several factors. In this paper, we combine two different approaches that have been used in the text summarization domain. The